As AI adoption accelerates, enterprises are facing new challenges in governance, traceability, and cost management—especially as AI workloads scale across increasingly complex infrastructures.

Ensuring full model provenance from predictions to underlying data, maintaining transparency and auditability, and optimizing AI infrastructure for cost efficiency are critical priorities for data science and IT leaders.

In this panel discussion, NetApp and Domino Data Labs will explore:

• Model provenance as a governance imperative - Why proving where AI decisions come from is key for compliance, accountability, and trust.
• AI in hybrid and multi-cloud environments - Strategies to ensure governance, performance, and cost control without sacrificing flexibility.
• The economics of AI infrastructure - How storage and compute bottlenecks increase costs—and how to optimize for efficiency.